Dynamic Choice & Behavioral Models
Dependence-aware models for best–worst discrete choice experiments, time-dependent utility, copula methods, and evolving choice behavior.
Department of Mathematics · Clarkson University
Sasanka Adikari, Ph.D.
Assistant Professor of Mathematics
I develop statistical and computational methods for problems involving dependence, uncertainty, and change over time. My work connects mathematical statistics, data science, and real-world decision making.
About
Biography and academic background
Sasanka Adikari is an Assistant Professor of Mathematics in the Department of Mathematics at Clarkson University in Potsdam, New York. His work connects statistical theory, computational methods, and real-world decision making.
His research interests include discrete choice modeling, time-dependent best–worst choice behavior, copula-based dependence models, Bayesian methods, time-series forecasting, and statistical learning. He also develops applied analytical methods for public-health surveillance and justice-system data.
Before joining Clarkson, he served as a Data Scientist with the Supreme Court of Pennsylvania, supporting statewide reporting and statistical analysis across Pennsylvania’s 67 counties. He values reproducible research, interdisciplinary collaboration, and translating complex methods into useful tools.
Research
Statistical methods for evolving, dependent systems
My research develops models that respect dependence, uncertainty, and temporal structure, then applies those models in settings where results must be interpretable and useful.
Time Series & Statistical Forecasting
Forecasting, changepoint detection, count-data models, and uncertainty-aware methods for complex temporal and panel data.
Applied Data Science for Public Systems
Reproducible statistical analysis for public health and justice systems, including surveillance, statewide reporting, spatial patterns, and decision support.
Selected work
Recent publications
2025
Forecasting COVID-19 Cases, Hospital Admissions, and Deaths Based on Wastewater SARS-CoV-2 Surveillance Using Gaussian Copula Time Series Marginal Regression Model
H. A. Jeng, N. Diawara, N. Welch, et al., including S. Adikari
COVID, 5(2), Article 252024
The Geometry of Dynamic Time-Dependent Best–Worst Choice Pairs
S. Adikari, N. Diawara, and H. Bar
Axioms, 13(9), Article 6412024
Utility in Time Description in Priority Best-Worst Discrete Choice Models: An Empirical Evaluation Using Flynn’s Data
S. Adikari and N. Diawara
Stats, 7(1), 185–2022023
Application of Wastewater-Based Surveillance and Copula Time-Series Model for COVID-19 Forecasts
H. A. Jeng, R. Singh, N. Diawara, et al., including S. Adikari
Science of the Total Environment, 885, Article 1636552023
Poisson Regression Model with Application to Wastewater Surveillance Under a Threshold Linear Mixed Model for COVID-19 Sensitivity Rates
N. Diawara, H. A. Jeng, et al., including S. Adikari
American Journal of Biomedical Science & Research, 20(2), 130–143
Doctoral dissertation · 2023
Read dissertation
Inference for Multiple Utility in Time-Dependent Choice Pairs Under Copula-Based Models
Old Dominion University
Experience
Academic, teaching, and public-service experience
Experience across university teaching and research, public-sector data science, and applied statistical analysis.
Assistant Professor
Department of Mathematics, Clarkson University
Data Scientist
Research & Statistics, Supreme Court of Pennsylvania
Graduate Research Assistant
Old Dominion University Research Foundation
Graduate Teaching Assistant
Department of Mathematics & Statistics, Old Dominion University
Graduate Teaching Assistant
Department of Mathematics & Statistics, Sam Houston State University
High School Teacher
Mathematics & Statistics, Gateway College
Temporary Demonstrator
Department of Statistics & Computer Science, University of Kelaniya
Teaching
Current course and teaching background
STAT 383 — Probability and Statistics
- Class
- Monday, Wednesday, Friday · 3:00–3:50 PM
- Location
- Science Center 360
- Office hours
- Monday and Wednesday · 10:00 AM–12:00 PM
- Office
- Science Center 367
Old Dominion University
Elementary Statistics; Design of Experiments
Sam Houston State University
Elementary Statistics; SPSS
Gateway International School
Advanced Calculus; Statistics; Algebra I and II
University of Kelaniya
Minitab; Sampling Techniques; Regression Analysis; Operations Research
Contact
Research, teaching, and collaboration
I welcome conversations about statistical methodology, data-science collaboration, student research, and applied projects.
aadikari@clarkson.eduAffiliationDepartment of Mathematics
Clarkson University
Clarkson University
OfficeScience Center 367
Mailing address8 Clarkson Avenue
Potsdam, NY 13699
Potsdam, NY 13699
Phone315-268-2379